What is ISO 11277:2018

ISO 11277:2018 is a technical standard that provides guidelines for the analysis of soil quality. It focuses on the determination of particle size distribution, which plays a vital role in understanding the physical properties and fertility potential of soil. This article aims to explain the key aspects of ISO 11277:2018 in an easy-to-understand manner.

Sampling and Preparation

The first step in analyzing soil according to ISO 11277:2018 is sampling and preparation. To ensure representative results, samples should be collected at multiple locations within a given area. Each sample should then go through a series of preparation techniques, including air-drying, removing organic matter, crushing, and sieving. These steps are crucial to eliminate any contaminants and obtain consistent particle size distribution data.

Particle Size Determination

In ISO 11277:2018, particle size distribution is determined using a method called sedimentation. This technique involves the use of decantation or centrifugation to separate particles based on their settling velocity. The soil suspension is prepared by mixing a known weight of soil sample with a dispersing agent and dilution liquid. By measuring the height of settled particles over time, the proportions of sand, silt, and clay can be calculated.

Data Interpretation and Reporting

Once particle size distribution is determined, the obtained data needs to be interpreted and reported accurately. ISO 11277:2018 provides guidelines on various parameters, such as percent of sand, silt, and clay; textural classes; and statistics like mean particle diameter and coefficient of uniformity. These parameters help assess soil quality, predict water-holding capacity, and evaluate its suitability for agricultural, construction, or engineering purposes.

In conclusion, ISO 11277:2018 is a technical standard that outlines the procedures for analyzing soil quality based on particle size distribution. By following the guidelines set forth by this standard, professionals can obtain accurate and reliable information about the characteristics of soil samples. This knowledge is crucial for decision-making in various fields, including agriculture, construction, and environmental science.